The history, ECG, age, risk factors, and troponin (HEART) score was developed as a rapid risk stratification tool. It has ...

Traditional operative risk calculators, such as the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II), ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

I did succeed in creating a ROC curve, however, the shape is not what I expect. ROC curve created with JASP (logistic regression, performance plot: ROC plot with cut off step 0.2. It seems that the ...

Logistic Regression script. This Python-based tool enables automated binary classification analysis using logistic regression. Developed for the Strategic Exercise Information and Research unit in ...

The receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) represent a logistic regression classifier’s model performance by depicting the trade−off rates between TPs ...

Covariations in univariate logistic regression analysis were tested for multicollinearity and then a multivariate logistic regression analysis was performed. If either the tolerance (Tol) was less ...

A subset selection search is performed to find the best regression model with fewer explanatory variables. For determining the best cutoff point for the classification, ROC curves are used to provide ...